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A numerical method library contains Least Square Polynomial Approximation, Gregory-Newton Interpolation, and Numerical Integration.

CMake 21.19% C 28.55% C++ 36.32% Makefile 13.94%

numlib's Introduction

numlib

A C++ numerical method library contains Least Square Polynomial Approximation, Gregory-Newton Interpolation, and Numerical Integration.

Usage

#include "numlib.h"

Least Square Polynomial Approximation

std::vector<double> xdata{1, 2, 3, 4, 5};
std::vector<double> ydata{1, 8, 9, 64, 125};
dataset ds(xdata, ydata);

# returns polynomial coefficient
std::vector<double> coef;
coef = ds.leastSquareCoef();

coef should be {0, 0, 0, 1} which represents 0x^0+0x^1+0x^2+1x^3.

# returns y value
double yValue;
yValue = ds.leastSquareY(6);

yValue should be 6^3 = 216.

Gregory-Newton Interpolation

Please refer to the explanation of Gregory-Newton Forward Difference.

#returns interpolation value
yValue = ds.gregoryNewton(6);

yValue should also be 216.

Numerical Integration

pending...

Contributing

Pull requests are welcome! Feel free to contact me via email.

numlib's People

Contributors

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Stargazers

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